Janvierscode/maize-disease-detection

Maize Disease Detection Model

This model identifies common maize diseases from leaf images.

Model Description

• Developed by: [Your Name/Team]
• Model type: Image Classification (CNN)
• Task: Maize Disease Detection
• Training Data: Maize leaf disease dataset
• Validation Accuracy: XX%

Diseases Detected

• Northern Leaf Blight
• Gray Leaf Spot
• Common Rust
• Healthy Plants

Usage

This model accepts leaf images and returns disease classifications with confidence scores.

from PIL import Image
import requests

API_URL = "https://api-inference.huggingface.co/models/Janvierscode/maize-disease-detection"
headers = {"Authorization": "Bearer YOUR_API_TOKEN"}

def query(image_path):
    with open(image_path, "rb") as f:
        data = f.read()
    response = requests.post(API_URL, headers=headers, data=data)
    return response.json()

# Example usage
result = query("path/to/image.jpg")
print(result)